東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Social Sciences." ]

切換: 標籤 | MARC模式 | ISBD

Multilevel network analysis for the ...

Lazega, Emmanuel.

FindBook

Google Book

Amazon

博客來

Multilevel network analysis for the social sciences = theory, methods and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multilevel network analysis for the social sciences/ edited by Emmanuel Lazega, Tom A.B. Snijders.
其他題名:	theory, methods and applications /
其他作者:	Lazega, Emmanuel.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	viii, 375 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Social sciences - Network analysis. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-24520-1
ISBN:	9783319245201$q(electronic bk.)

Multilevel network analysis for the social sciences = theory, methods and applications /
Multilevel network analysis for the social sciencestheory, methods and applications /[electronic resource] :edited by Emmanuel Lazega, Tom A.B. Snijders. - Cham :Springer International Publishing :2016. - viii, 375 p. :ill., digital ;24 cm. - Methodos series ;v.12. - Methodos series ;v.5..

This volume provides new insights into the functioning of organizational, managerial and market societies. Multilevel analysis and social network analysis are described and the authors show how they can be combined in developing the theory, methods and empirical applications of the social sciences. This book maps out the development of multilevel reasoning and shows how it can explain behavior, through two different ways of contextualizing it. First, by identifying levels of influence on behavior and different aggregations of actors and behavior, and complex interactions between context and behavior. Second, by identifying different levels as truly different systems of agency: such levels of agency can be examined separately and jointly since the link between them is affiliation of members of one level to collective actors at the superior level. It is by combining these approaches that this work offers new insights. New case studies and datasets that explore new avenues of theorizing and new applications of methodology are presented. This book will be useful as a reference work for all social scientists, economists and historians who use network analyses and multilevel statistical analyses. Philosophers interested in the philosophy of science or epistemology will also find this book valuable.

ISBN: 9783319245201$q(electronic bk.)

Standard No.: 10.1007/978-3-319-24520-1doiSubjects--Topical Terms:

565859
Social sciences
--Network analysis.

LC Class. No.: HM741 / .M858 2016

Dewey Class. No.: 300.151

Multilevel network analysis for the social sciences = theory, methods and applications /
LDR:02331nmm a2200313 a 4500 001 2030146
003 DE-He213
005 20160811101958.0
006 m d
007 cr nn 008maaau
008 160908s2016 gw s 0 eng d
020 $a 9783319245201$q(electronic bk.)
020 $a 9783319245188$q(paper)
024 7 $a 10.1007/978-3-319-24520-1 $2 doi
035 $a 978-3-319-24520-1
040 $a GP $c GP
041 0 $a eng
050 4 $a HM741 $b .M858 2016
072 7 $a JHBC $2 bicssc
072 7 $a SOC019000 $2 bisacsh
082 0 4 $a 300.151 $2 23
090 $a HM741 $b .M961 2016
245 0 0 $a Multilevel network analysis for the social sciences $h [electronic resource] : $b theory, methods and applications / $c edited by Emmanuel Lazega, Tom A.B. Snijders.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a viii, 375 p. : $b ill., digital ; $c 24 cm.
490 1 $a Methodos series ; $v v.12
520 $a This volume provides new insights into the functioning of organizational, managerial and market societies. Multilevel analysis and social network analysis are described and the authors show how they can be combined in developing the theory, methods and empirical applications of the social sciences. This book maps out the development of multilevel reasoning and shows how it can explain behavior, through two different ways of contextualizing it. First, by identifying levels of influence on behavior and different aggregations of actors and behavior, and complex interactions between context and behavior. Second, by identifying different levels as truly different systems of agency: such levels of agency can be examined separately and jointly since the link between them is affiliation of members of one level to collective actors at the superior level. It is by combining these approaches that this work offers new insights. New case studies and datasets that explore new avenues of theorizing and new applications of methodology are presented. This book will be useful as a reference work for all social scientists, economists and historians who use network analyses and multilevel statistical analyses. Philosophers interested in the philosophy of science or epistemology will also find this book valuable.
650 0 $a Social sciences $x Network analysis. $3 565859
650 0 $a Social sciences $x Methodology. $3 525593
650 1 4 $a Social Sciences. $3 786955
650 2 4 $a Methodology of the Social Sciences. $3 895565
650 2 4 $a Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. $3 894294
650 2 4 $a Sociology, general. $3 1565473
700 1 $a Lazega, Emmanuel. $3 2181596
700 1 $a Snijders, Tom A.B. $3 2181597
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Methodos series ; $v v.5. $3 1624027
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-24520-1
950 $a Social Sciences (Springer-41176)